OpenML
Supervised Classification on sleuth_ex2015

Supervised Classification on sleuth_ex2015

Task 3576 Supervised Classification sleuth_ex2015 492 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7128, kappa: 0.4333, kb_relative_information_score: 27.3341, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7291, predictive_accuracy: 0.7167, prior_entropy: 1, recall: 0.7167, relative_absolute_error: 0.5463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.921, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6832, kappa: 0.3667, kb_relative_information_score: 13.9959, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6835, predictive_accuracy: 0.6833, prior_entropy: 1, recall: 0.6833, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9804, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.6825, kappa: 0.3667, kb_relative_information_score: 13.5525, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6852, predictive_accuracy: 0.6833, prior_entropy: 1, recall: 0.6833, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9781, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5489, f_measure: 0.5, kb_relative_information_score: 1.919, mean_absolute_error: 0.4822, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6195, root_relative_squared_error: 1.2389, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4167, f_measure: 0.3658, kappa: -0.1667, kb_relative_information_score: -10, mean_absolute_error: 0.5833, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.3773, predictive_accuracy: 0.4167, prior_entropy: 1, recall: 0.4167, relative_absolute_error: 1.1667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7638, root_relative_squared_error: 1.5275, scimark_benchmark: 904.6764, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4167, f_measure: 0.3658, kappa: -0.1667, kb_relative_information_score: -10, mean_absolute_error: 0.5833, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.3773, predictive_accuracy: 0.4167, prior_entropy: 1, recall: 0.4167, relative_absolute_error: 1.1667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7638, root_relative_squared_error: 1.5275, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.6987, kappa: 0.4, kb_relative_information_score: 20.4512, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7036, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9521, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.733, kappa: 0.4667, kb_relative_information_score: 19.1495, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7344, predictive_accuracy: 0.7333, prior_entropy: 1, recall: 0.7333, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9386, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.716, kappa: 0.4333, kb_relative_information_score: 11.5613, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7189, predictive_accuracy: 0.7167, prior_entropy: 1, recall: 0.7167, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.9343, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7166, kappa: 0.4333, kb_relative_information_score: 19.0925, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7169, predictive_accuracy: 0.7167, prior_entropy: 1, recall: 0.7167, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8537, scimark_benchmark: 936.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.733, kappa: 0.4667, kb_relative_information_score: 19.1495, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7344, predictive_accuracy: 0.7333, prior_entropy: 1, recall: 0.7333, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9386, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.6832, kappa: 0.3667, kb_relative_information_score: 16.0911, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6835, predictive_accuracy: 0.6833, prior_entropy: 1, recall: 0.6833, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4926, root_relative_squared_error: 0.9851, scimark_benchmark: 927.2917, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4167, f_measure: 0.3658, kappa: -0.1667, kb_relative_information_score: -10, mean_absolute_error: 0.5833, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.3773, predictive_accuracy: 0.4167, prior_entropy: 1, recall: 0.4167, relative_absolute_error: 1.1667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7638, root_relative_squared_error: 1.5275, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.6987, kappa: 0.4, kb_relative_information_score: 20.4512, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7036, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9521, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.733, kappa: 0.4667, kb_relative_information_score: 19.1495, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7344, predictive_accuracy: 0.7333, prior_entropy: 1, recall: 0.7333, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9386, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.733, kappa: 0.4667, kb_relative_information_score: 19.1495, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7344, predictive_accuracy: 0.7333, prior_entropy: 1, recall: 0.7333, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9386, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.6832, kappa: 0.3667, kb_relative_information_score: 16.0911, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6835, predictive_accuracy: 0.6833, prior_entropy: 1, recall: 0.6833, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4926, root_relative_squared_error: 0.9851, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.6333, kappa: 0.2667, kb_relative_information_score: 9.4261, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6333, predictive_accuracy: 0.6333, prior_entropy: 1, recall: 0.6333, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9886, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6832, kappa: 0.3667, kb_relative_information_score: 13.9959, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6835, predictive_accuracy: 0.6833, prior_entropy: 1, recall: 0.6833, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9804, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.6987, kappa: 0.4, kb_relative_information_score: 14.2657, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7036, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9701, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5489, f_measure: 0.5, kb_relative_information_score: 1.919, mean_absolute_error: 0.4822, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6195, root_relative_squared_error: 1.2389, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4167, f_measure: 0.3658, kappa: -0.1667, kb_relative_information_score: -10, mean_absolute_error: 0.5833, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.3773, predictive_accuracy: 0.4167, prior_entropy: 1, recall: 0.4167, relative_absolute_error: 1.1667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7638, root_relative_squared_error: 1.5275, scimark_benchmark: 919.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.733, kappa: 0.4667, kb_relative_information_score: 19.1495, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7344, predictive_accuracy: 0.7333, prior_entropy: 1, recall: 0.7333, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9386, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.733, kappa: 0.4667, kb_relative_information_score: 19.1495, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7344, predictive_accuracy: 0.7333, prior_entropy: 1, recall: 0.7333, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9386, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.716, kappa: 0.4333, kb_relative_information_score: 11.5613, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7189, predictive_accuracy: 0.7167, prior_entropy: 1, recall: 0.7167, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.9343, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7166, kappa: 0.4333, kb_relative_information_score: 19.0925, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7169, predictive_accuracy: 0.7167, prior_entropy: 1, recall: 0.7167, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8537, scimark_benchmark: 945.6228, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.733, kappa: 0.4667, kb_relative_information_score: 19.1495, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7344, predictive_accuracy: 0.7333, prior_entropy: 1, recall: 0.7333, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9386, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.6832, kappa: 0.3667, kb_relative_information_score: 16.0911, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6835, predictive_accuracy: 0.6833, prior_entropy: 1, recall: 0.6833, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4926, root_relative_squared_error: 0.9851, scimark_benchmark: 941.3057, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.6333, kappa: 0.2667, kb_relative_information_score: 9.4261, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6333, predictive_accuracy: 0.6333, prior_entropy: 1, recall: 0.6333, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9886, scimark_benchmark: 1051.249, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.7828, kappa: 0.5667, kb_relative_information_score: 16.3898, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7862, predictive_accuracy: 0.7833, prior_entropy: 1, recall: 0.7833, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.8986, scimark_benchmark: 851.2074, usercpu_time_millis: 300, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.7664, kappa: 0.5333, kb_relative_information_score: 16.2296, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7679, predictive_accuracy: 0.7667, prior_entropy: 1, recall: 0.7667, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9, scimark_benchmark: 938.988, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.7818, kappa: 0.5667, kb_relative_information_score: 17.4131, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7914, predictive_accuracy: 0.7833, prior_entropy: 1, recall: 0.7833, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.891, scimark_benchmark: 906.8974, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.733, kappa: 0.4667, kb_relative_information_score: 15.168, mean_absolute_error: 0.3911, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7344, predictive_accuracy: 0.7333, prior_entropy: 1, recall: 0.7333, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9073, scimark_benchmark: 869.7667, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.6987, kappa: 0.4, kb_relative_information_score: 14.2114, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7036, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9184, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.679, kappa: 0.3667, kb_relative_information_score: 17.577, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6939, predictive_accuracy: 0.6833, prior_entropy: 1, recall: 0.6833, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9813, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.679, kappa: 0.3667, kb_relative_information_score: 17.577, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6939, predictive_accuracy: 0.6833, prior_entropy: 1, recall: 0.6833, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9813, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.679, kappa: 0.3667, kb_relative_information_score: 17.577, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6939, predictive_accuracy: 0.6833, prior_entropy: 1, recall: 0.6833, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9813, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.679, kappa: 0.3667, kb_relative_information_score: 17.577, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6939, predictive_accuracy: 0.6833, prior_entropy: 1, recall: 0.6833, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9813, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.679, kappa: 0.3667, kb_relative_information_score: 17.577, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6939, predictive_accuracy: 0.6833, prior_entropy: 1, recall: 0.6833, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9813, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.733, kappa: 0.4667, kb_relative_information_score: 19.1495, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7344, predictive_accuracy: 0.7333, prior_entropy: 1, recall: 0.7333, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9386, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.733, kappa: 0.4667, kb_relative_information_score: 19.1495, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7344, predictive_accuracy: 0.7333, prior_entropy: 1, recall: 0.7333, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9386, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.6825, kappa: 0.3667, kb_relative_information_score: 13.5525, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6852, predictive_accuracy: 0.6833, prior_entropy: 1, recall: 0.6833, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9781, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.6987, kappa: 0.4, kb_relative_information_score: 20.4512, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7036, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9521, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.733, kappa: 0.4667, kb_relative_information_score: 19.1495, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7344, predictive_accuracy: 0.7333, prior_entropy: 1, recall: 0.7333, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9386, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.733, kappa: 0.4667, kb_relative_information_score: 19.1495, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7344, predictive_accuracy: 0.7333, prior_entropy: 1, recall: 0.7333, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9386, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.733, kappa: 0.4667, kb_relative_information_score: 19.1495, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7344, predictive_accuracy: 0.7333, prior_entropy: 1, recall: 0.7333, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9386, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7166, kappa: 0.4333, kb_relative_information_score: 19.0925, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7169, predictive_accuracy: 0.7167, prior_entropy: 1, recall: 0.7167, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8537, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.733, kappa: 0.4667, kb_relative_information_score: 19.1495, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7344, predictive_accuracy: 0.7333, prior_entropy: 1, recall: 0.7333, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9386, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.6333, kappa: 0.2667, kb_relative_information_score: 9.4261, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6333, predictive_accuracy: 0.6333, prior_entropy: 1, recall: 0.6333, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9886, scimark_benchmark: 1316.5396, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.6825, kappa: 0.3667, kb_relative_information_score: 13.5525, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6852, predictive_accuracy: 0.6833, prior_entropy: 1, recall: 0.6833, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9781, scimark_benchmark: 1358.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4167, f_measure: 0.3658, kappa: -0.1667, kb_relative_information_score: -10, mean_absolute_error: 0.5833, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.3773, predictive_accuracy: 0.4167, prior_entropy: 1, recall: 0.4167, relative_absolute_error: 1.1667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7638, root_relative_squared_error: 1.5275, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.6987, kappa: 0.4, kb_relative_information_score: 20.4512, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7036, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9521, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.733, kappa: 0.4667, kb_relative_information_score: 19.1495, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7344, predictive_accuracy: 0.7333, prior_entropy: 1, recall: 0.7333, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9386, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.733, kappa: 0.4667, kb_relative_information_score: 19.1495, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7344, predictive_accuracy: 0.7333, prior_entropy: 1, recall: 0.7333, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9386, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.716, kappa: 0.4333, kb_relative_information_score: 11.5613, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7189, predictive_accuracy: 0.7167, prior_entropy: 1, recall: 0.7167, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.9343, scimark_benchmark: 1337.3324,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs